Want to convert data from Visual FoxPro to MySQL ?
Try Withdata DBCopier, a Visual FoxPro to MySQL converter for Windows, Mac, and Linux, Convert Visual FoxPro to MySQL, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Support Windows, Linux, and macOS.
Convert data from Visual FoxPro to MySQL
Login to Visual FoxPro and MySQL -> Select source Visual FoxPro tables -> Set target MySQL tables -> Convert Visual FoxPro to MySQL
Choose source Visual FoxPro database and logon.
Choose target MySQL database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source Visual FoxPro.
2. List target MySQL tables.
3. Select MySQL tables to import.
4. Convert data from Visual FoxPro to MySQL.
More about Visual FoxPro to MySQL converter
Download Withdata DBCopier
See also:
Visual FoxPro → MySQL reference
Type mapping
| Value kind | in Visual FoxPro | in MySQL |
|---|---|---|
| Int | Numeric(10,0) | INT |
| Bigint | Numeric(19,0) | BIGINT |
| Decimal | Numeric(p,s) | DECIMAL(p,s) |
| Float | Float | DOUBLE |
| Text | Character(n) | VARCHAR(n) |
| Long text | Memo | LONGTEXT |
| Date | Date | DATE |
| Datetime | DateTime | DATETIME |
| Binary | General | LONGBLOB |
| Boolean | Logical | TINYINT(1) |
| JSON | (none) | JSON |
Dialect differences
Both Visual FoxPro and MySQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Visual FoxPro | in MySQL |
|---|---|---|
| port | (file-based) | 3306 |
| identifiers | — | `backtick` |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D), DateTime (T) | DATETIME, TIMESTAMP, DATE, TIME |
| long text | Memo (M) | TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT |
| binary | General (G) | BLOB / TINYBLOB / LONGBLOB |
Command line
| Side | Command |
|---|---|
| MySQL | mysqldump, or mysql -e "SELECT ..." > out.csv |
| MySQL (load) | mysqlimport, or LOAD DATA INFILE |
No counterpart
- MySQL has no equivalent for JSON – it has to be flattened or dropped.
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